20 citations · 36 across the 6 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.CR2016★ 10 cited
Obfuscating Keystroke Time Intervals to Avoid Identification and Impersonation
John V. Monaco, Charles C. Tappert
There are numerous opportunities for adversaries to observe user behavior remotely on the web. Additionally, keystroke biometric algorithms have advanced to the point where user id…
cs.IT2016★ 1 cited
The Partially Observable Hidden Markov Model and its Application to Keystroke Dynamics
John V. Monaco, Charles C. Tappert
The partially observable hidden Markov model is an extension of the hidden Markov Model in which the hidden state is conditioned on an independent Markov chain. This structure is m…
cs.CR2016★ 20 cited
Robust Keystroke Biometric Anomaly Detection
John V. Monaco
The Keystroke Biometrics Ongoing Competition (KBOC) presented an anomaly detection challenge with a public keystroke dataset containing a large number of subjects and real-world as…